8 reviewed templates

Research prompts built around real decisions.

Research quality depends on source quality and careful interpretation. These prompts help structure inquiry and synthesis, but they explicitly prohibit invented citations and ask the model to distinguish direct evidence, inference, disagreement, and missing information.

  • Ask neutral, useful questions
  • Evaluate sources and competing claims
  • Design the next evidence-gathering step

8 prompts

Replace bracketed variables before use.

01
Research Expert execution framework

Build a neutral customer interview guide

Explore recent behavior, workflow, pain, workaround, consequence, and decision criteria.

View the complete expert prompt
Act as an experienced user researcher. Create a [DURATION] interview guide for [TARGET USER] about [PROBLEM AREA], answering [RESEARCH GOAL]. Start with context and recent behavior, then explore the current workflow, pain points, workarounds, consequences, triggering events, and decision criteria. Avoid leading questions and hypothetical feature pitching. Add neutral follow-up probes and explain what evidence each section is designed to uncover.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt asks about real past behavior before opinions or hypothetical features.
02
Research Expert execution framework

Synthesize evidence without hiding disagreement

Organize findings, source strength, contradictions, limits, and practical implications.

View the complete expert prompt
Synthesize [SOURCES] to answer [RESEARCH QUESTION] for decision [DECISION]. Create a source table with type, date, relevance, and limitations. Then summarize converging findings, disagreements, plausible explanations, evidence gaps, and practical implications. Distinguish direct evidence from inference. Do not invent citations or details not present in the sources. State what the evidence can support, what it cannot support, and the next evidence worth collecting.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt preserves source-level traceability and treats uncertainty as part of the result.
03
Research Expert execution framework

Evaluate source credibility and usefulness

Assess authority, method, incentives, recency, relevance, and corroboration.

View the complete expert prompt
Evaluate [SOURCE MATERIAL] as evidence for [CLAIM] in [USE CASE]. Assess authorship, expertise, publication context, methodology, sample, transparency, incentives, recency, relevance, and corroboration. Separate issues that reduce credibility from issues that merely limit applicability. Quote only short necessary fragments. Return a confidence assessment with reasons, what can safely be cited, what needs qualification, and stronger source types to seek.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt judges a source for a specific claim and use rather than giving a vague trust score.
04
Research Expert execution framework

Compare options using consistent evidence

Build a balanced comparison with criteria, source support, uncertainty, and sensitivity.

View the complete expert prompt
Compare [OPTIONS] for [DECISION CONTEXT] using [CRITERIA] and evidence [EVIDENCE]. Define every criterion before scoring. For each option provide supported strengths, limitations, costs, risks, dependencies, and unknowns. Use the same evidence standard across options. Show how the recommendation changes when criterion weights or key assumptions change. If the evidence is insufficient, recommend a test rather than a false winner.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt prevents the preferred option from receiving a different evaluation standard.
05
Research Expert execution framework

Design an unbiased survey plan

Clarify the decision, population, measures, question wording, and analysis before launch.

View the complete expert prompt
Design a survey for [TARGET POPULATION] to address [RESEARCH OBJECTIVE] and inform [DECISION], within [CONSTRAINTS]. Define constructs, sampling approach, screening, question order, response scales, analysis plan, and limitations. Draft concise neutral questions and explain what each measures. Check for leading wording, double-barreled questions, overlap, missing options, recall burden, and privacy concerns. Do not promise representativeness without a valid sampling plan.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt links every question to an analysis need and checks common sources of bias.
06
Research Expert execution framework

Create a decision-linked research plan

Choose methods, participants, evidence standards, timeline, and synthesis around a decision.

View the complete expert prompt
Create a research plan for decision [DECISION]. Known evidence: [KNOWN EVIDENCE]. Knowledge gaps: [KNOWLEDGE GAPS]. Timeframe: [TIMEFRAME]. Rank gaps by decision impact and uncertainty. Recommend methods, participants or sources, recruitment or access needs, protocol, evidence quality criteria, synthesis approach, milestones, risks, and stopping conditions. Include a lean version and a more rigorous version, explaining what confidence each can provide.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt prioritizes knowledge gaps by how much they could change the decision.
07
Research Expert execution framework

Build and prioritize an assumption register

Make hidden beliefs testable by evidence, impact, uncertainty, and owner.

View the complete expert prompt
Review [PLAN OR PROPOSAL] in context [CONTEXT] using [AVAILABLE EVIDENCE]. Extract assumptions about users, demand, behavior, operations, technology, timing, cost, regulation, and adoption. Rewrite each as a testable statement. For every assumption record supporting evidence, contradictory evidence, impact if false, uncertainty, owner, cheapest useful test, and decision deadline. Prioritize assumptions with high impact and weak evidence.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt converts vague risk into explicit statements that can be confirmed or challenged.
08
Research Expert execution framework

Map concepts across a source collection

Identify definitions, relationships, schools of thought, and unresolved questions.

View the complete expert prompt
Using only [SOURCE SUMMARIES], create a concept map for [TOPIC] within [SCOPE]. Identify core concepts, competing definitions, relationships, mechanisms, methods, schools of thought, and unresolved questions. Link every observation to the relevant supplied source. Note where sources use the same term differently or disagree. Do not invent publications or citations. Finish with a reading sequence and gaps that require primary-source review.

EXPERT EXECUTION PROTOCOL
1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information.
2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions.
3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results.
4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question.
5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs.
6. Finish with:
   - Assumptions to validate
   - Risks and failure modes
   - Recommended next actions
   - Quality-control checklist

QUALITY STANDARD
The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.
Why it worksIt builds a traceable conceptual map without pretending summaries are the full literature.